Mail::SpamAssassin::PlUser:Contributed PMail::SpamAssassin::Plugin::Bayes(3pm)
NAME
Mail::SpamAssassin::Plugin::Bayes - determine spammishness using a
Bayesian classifier
DESCRIPTION
This is a Bayesian-style probabilistic classifier, using an algorithm
based on the one detailed in Paul Graham's A Plan For Spam paper at:
http://www.paulgraham.com/spam.html
It also incorporates some other aspects taken from Graham Robinson's
webpage on the subject at:
http://radio.weblogs.com/0101454/stories/2002/09/16/spamDetection.html
And the chi-square probability combiner as described here:
http://www.linuxjournal.com/print.php?sid=6467
The results are incorporated into SpamAssassin as the BAYES_* rules.
USER SETTINGS
bayes_stopword_languages lang (default: en)
Languages enabled in bayes stopwords processing, every language
have a default stopwords regexp, tokens matching this regular
expression will not be considered in bayes processing.
Custom regular expressions for additional languages can be defined
in "local.cf".
Custom regular expressions can be specified by using the
"bayes_stopword_lang" keyword like in the following example:
bayes_stopword_languages en se
bayes_stopword_en (?:you|me)
bayes_stopword_se (?:du|mig)
Regexps are case-insensitive will be anchored automatically at
beginning and end.
To disable stopwords usage, specify "bayes_stopword_languages
disable".
Only one bayes_stopword_languages or bayes_stopword_xx
configuration line can be used. New configuration line will
override the old one, for example the ones from SpamAssassin
default ruleset (60_bayes_stopwords.cf).
bayes_max_token_length (default: 15)
Configure the maximum number of character a token could contain
perl v5.36.0 2024-0Mail::SpamAssassin::Plugin::Bayes(3pm)
Czas wygenerowania: 0.00030 sek.
Created with the man page lookup class by Andrew Collington.
Based on a C man page viewer by Vadim Pavlov
Unicode soft-hyphen fix (as used by RedHat) by Dan Edwards
Some optimisations by Eli Argon
Caching idea and code contribution by James Richardson
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